PitchBook Data
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
PitchBook’s Machine Learning Engineer is responsible for using machine learning and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for our users. This role requires a strong desire to learn and deliver value through scalable machine learning systems. A strong motivation to succeed is critical and everyone has the opportunity to shape the long‑term direction of our team.
Primary Job Responsibilities
Apply NLP and Machine Learning: Utilize NLP and ML techniques to create novel views of private industry data, enhancing decision‑making and insights
Extract Insights from Textual Data: Analyze unstructured data such as articles and conversations to identify unique signals of private company performance, aiding market trend prediction
Collaborate Efficiently: Partner with Product and Engineering teams to automate processes for large‑scale data, improving data management and analysis
Stay Informed and Lead: Stay updated on industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested
Skills and Qualifications
Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred
2+ years of experience building predictive models in a production environment
2+ years of demonstrated experience with natural language processing (NLP)
2+ years of demonstrated experience with Python or other object‑oriented programming frameworks
Demonstrate experience using complex SQL queries for data extraction and transformation
Experience with transformer‑based language models
Proficient in deep learning frameworks (i.e., TensorFlow and PyTorch)
Strong communication and data presentation skills
Strong problem‑solving ability
Ability to communicate complex analysis in a clear, precise, and actionable manner
Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook Physical Health
Additional medical wellness incentives
STD, LTD, AD&D, and life insurance
Emotional Health
Paid sabbatical program after four years
Paid family and paternity leave
Annual educational stipend
Ability to apply for tuition reimbursement
CFA exam stipend
Robust training programs on industry and soft skills
Employee assistance program
Generous allotment of vacation days, sick days, and volunteer days
Social Health
Matching gifts program
Employee resource groups
Dependent Care FSA
Employee referral bonus program
Quarterly team building events
Shared ownership employee stock program
Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
Annual base salary: $125,000-$180,000
Target annual bonus percentage: 10%
Working Conditions At the heart of our company is a belief in the power of in‑person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on‑going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
Equal Employment Opportunity Statement As set forth in PitchBook Data’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
PitchBook’s Machine Learning Engineer is responsible for using machine learning and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for our users. This role requires a strong desire to learn and deliver value through scalable machine learning systems. A strong motivation to succeed is critical and everyone has the opportunity to shape the long‑term direction of our team.
Primary Job Responsibilities
Apply NLP and Machine Learning: Utilize NLP and ML techniques to create novel views of private industry data, enhancing decision‑making and insights
Extract Insights from Textual Data: Analyze unstructured data such as articles and conversations to identify unique signals of private company performance, aiding market trend prediction
Collaborate Efficiently: Partner with Product and Engineering teams to automate processes for large‑scale data, improving data management and analysis
Stay Informed and Lead: Stay updated on industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested
Skills and Qualifications
Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred
2+ years of experience building predictive models in a production environment
2+ years of demonstrated experience with natural language processing (NLP)
2+ years of demonstrated experience with Python or other object‑oriented programming frameworks
Demonstrate experience using complex SQL queries for data extraction and transformation
Experience with transformer‑based language models
Proficient in deep learning frameworks (i.e., TensorFlow and PyTorch)
Strong communication and data presentation skills
Strong problem‑solving ability
Ability to communicate complex analysis in a clear, precise, and actionable manner
Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook Physical Health
Additional medical wellness incentives
STD, LTD, AD&D, and life insurance
Emotional Health
Paid sabbatical program after four years
Paid family and paternity leave
Annual educational stipend
Ability to apply for tuition reimbursement
CFA exam stipend
Robust training programs on industry and soft skills
Employee assistance program
Generous allotment of vacation days, sick days, and volunteer days
Social Health
Matching gifts program
Employee resource groups
Dependent Care FSA
Employee referral bonus program
Quarterly team building events
Shared ownership employee stock program
Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
Annual base salary: $125,000-$180,000
Target annual bonus percentage: 10%
Working Conditions At the heart of our company is a belief in the power of in‑person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on‑going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
Equal Employment Opportunity Statement As set forth in PitchBook Data’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr